OpenAI has unveiled its latest artificial intelligence model called o1, which, the company claims, can perform complex reasoning tasks more effectively than its predecessors. The release comes as OpenAI faces increasing competition in the race to develop more sophisticated AI systems. O1 was trained to "spend more time thinking through problems before they respond, much like a person would," OpenAI said on its website. "Through training, [the models] learn to refine their thinking process, try different strategies, and recognize their mistakes." OpenAI envisions the new model being used by healthcare researchers to annotate cell sequencing data, by physicists to generate mathematical formulas and software developers.

Qualcomm has unveiled its latest chipset that will power a wealth of mid-range phones starting later this month. Redmi and Realme are among the brands that will use the Snapdragon 7 Gen 2 chipset. As you might expect, the chipset isn't quite as powerful as the Snapdragon 8 Gen 2, but it appears to offer a notable upgrade over the Snapdragon 7 Gen 1. Qualcomm says the CPU will deliver a performance improvement of over 50 percent, with speeds of up to 2.91GHz. The company claims the Snapdragon 7 Gen 2 will offer improvements in GPU performance (by two times) and power efficiency (by 13 percent) as well. Moreover, Qualcomm says that "on-device AI is integrated across the entire platform."

Qualcomm has announced its latest flagship mobile chipset, the Snapdragon 8 Gen 2. Along with making it more powerful and efficient than Gen 1 chips, Qualcomm says it has packed more AI smarts into the new platform. The Snapdragon 8 will tap into the latest Qualcomm AI Engine and upgraded Hexagon processor to offer "faster natural language processing with multi-language translation and advanced AI camera features," the company claims. The processor has architectural upgrades that will enable up to 4.35 times the AI performance of Gen 1 chips, according to Qualcomm. There will be support for an AI precision format called Int4, which the company suggests will lead to a 60 percent performance/watt improvement over the previous-gen chipset for sustained AI inferencing. Meanwhile, the Sensing Hub will have dual AI processors, which can support features such as custom wake words.

Nick DeNittis writes and edits AI industry trends and use-cases for Emerj's editorial and client content. Nick holds an MS in Management from Troy University and has earned several professional analytics certificates, including from the Wharton School. Twitter is an American communications company based in San Francisco, California, best known for the microblogging and social networking site of the same name. As of January 2022, the company had over 229 million daily active users. In their annual report [pdf], Twitter cites a total revenue of $5.08 billion in 2021, with revenue from advertising of $4.51 billion.

Nick DeNittis writes and edits AI industry trends and use-cases for Emerj's editorial and client content. Nick holds an MS in Management from Troy University and has earned several professional analytics certificates, including from the Wharton School. Abbott Laboratories (NYSE symbol: ABT) is an American multinational healthcare and medical devices company based in Abbott Park, Illinois. Known for its medical device and pharmaceutical products, the company reported net sales of $43.1 billion in 2021. The company's market cap is approximately $191 billion.

According to the US Environmental Protection Agency, 11 percent of 2020 greenhouse gas emissions came from agriculture efforts from livestock such as cows, agricultural soils, and rice production. This means that we have a desperate need to change how we produce our food. Silicon Valley startup IronOx has been busy doing just that by using automation. It has moved crops indoors, used robots to manage them, and put them under the watchful eyes of smart cameras. To grow more and better efficiently and sustainably, according to an article by CNET published on Saturday.

SambaNova says its latest chips can best Nvidia's A100 silicon by a wide margin, at least when it comes to machine learning workloads. The Palo Alto-based AI startup this week revealed its DataScale systems and Cardinal SN30 accelerator, which the company claims is capable of delivering 688 TFLOPS of BF16 performance, twice that of Nvidia's A100. However, in machine learning training workloads, SambaNova says the gap is even larger. The company claims its SN30-based DataScale systems are six times faster when training a 13-billion parameter GPT model than Nvidia's DGX A100 servers, at least according to its internal benchmarks, so take them with a healthy dose of salt. The SN30 is manufactured on a 7nm TSMC process node, which packs 86 billion transistors into a single die.

Aprecomm, founded in 2016, claims it has the right tools to make internet downtime a thing of the past. The company's proprietary AI tool — dubbed Virtual Wireless Expert (VWE) — according to Aprecomm, is capable of diagnosing what the problem is when an internet line is down, saving time and money for both the ISP and customer.

Regarding business outcomes, the company claims that a large international information-services firm reduced the time spent on legal reviews by 75%. In another example, DocuSign cited how they decreased the time an international telecom company spent reviewing customer agreements by more than 80%, and enabled a global financial services leader to automate the analysis of over 2.6 million data points from supplier agreements. It's telling that the company can only procure a handful of examples and not one is willing to be named. Resolutely successful initiatives usually have no problem finding a dozen companies willing to lend their name – even to a banner on a company front page – to a brand that authentically benefited them. It's also worth noting that DocuSign's Rolodex is hardly wanting: the company lists T-Mobile, Unilever, Boston Scientific, AAA, and Salesforce as some of their past clients.

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders. NVIDIA is a multinational company known for its computing hardware, especially its graphics processing units (GPUs) and systems on chip units (SoCs) for mobile devices. The company went public on January 22, 1999. While the company remains focused on hardware production, it has implemented deep learning and AI into its GPUs and specific software, such as its autonomous driving platform. The company trades on the NASDAQ (symbol: NVDA) with a market cap of just above $418 billion and employs approximately 23,000 globally.